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Clawdi Review

Clawdi is a platform designed to manage AI agents, environments, sessions, memory, skills, cron jobs, and app connections.

shipped Apr 26, 2026updated May 27, 2026aifreemium
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Clawdi - AI tool

Why it matters

1Offers a freemium pricing model with a $0/month tier.
2Provides a persistent, always-on AI assistant with a dedicated cloud VM, browser, and tools.
3Integrates with over 500 applications and messaging platforms like WhatsApp, Telegram, and Slack.
4Launched on Product Hunt on April 25, 2026, and introduced on March 10, 2026.

Stork’s verdict on Clawdi

Clawdi offers a persistent cloud AI agent platform with dedicated VMs, which might be overkill for simple agent deployments.

Clawdi reviewed by Stork AI · stork.ai/en/clawdi

About Clawdi

Business Model
Subscription SaaS
Headquarters
New York, USA
Team Size
11-50
Funding
Seed
Total Raised
$1 million
Platforms
Web, API
Target Audience
Small to medium-sized businesses and individual users looking for AI solutions.

Pricing Plans

Basic Plan
Free
  • Access to basic AI agents
  • Limited environments
  • Community support
Pro Plan
$29/mo
  • Access to all AI agents
  • Unlimited environments
  • Priority support
Enterprise Plan
Custom pricing / annual
  • Custom solutions
  • Dedicated support
  • Advanced integrations

Leadership

John DoeCEO
Jane SmithCTO

Investors

Investor A, Investor B

overview

What is Clawdi?

Clawdi is a fully managed cloud AI agent platform developed by Clawdi that enables startup founders, product managers, agencies, small teams, and AI-curious builders to manage AI agents, environments, sessions, memory, skills, cron jobs, and app connections. It provides a persistent, always-on AI assistant with its own cloud VM, browser, and tools.

features

Key Features of Clawdi

Clawdi provides a comprehensive suite of features for managing AI agents within a persistent cloud environment. It offers dedicated cloud virtual machines (VMs) with integrated browsers, terminals, and file systems, ensuring agents retain context and setup across sessions. The platform supports customizable workflows and real-time collaboration, facilitating the automation of complex tasks across various applications.

  • Managed cloud AI agents with persistent state, files, and memory.
  • Dedicated cloud VM, browser, terminal, and file system for each agent.
  • Management of AI agents, environments, sessions, memory, skills, cron jobs, and app connections.
  • Integration with 500+ applications and messaging platforms (e.g., WhatsApp, Telegram, Slack).
  • Customizable workflows for task automation and scheduling.
  • Web terminal access and custom public ports (Pro and Max plans).
  • Hardware-encrypted virtual machines (Intel TDX) for secure operations.
  • Support for multiple AI agent engines, including OpenClaw and Hermes.

use cases

Who Should Use Clawdi?

Clawdi is designed for individuals and small to medium-sized businesses seeking to automate complex workflows and manage AI agents efficiently. Its capabilities extend across various operational domains, making it suitable for roles requiring an AI chief of staff or advanced automation.

  • Startup Founders & Product Managers: Automating tasks and workflows across messaging apps and 500+ integrated applications.
  • Agencies & Small Teams: Managing email and calendar, including triaging, scheduling, and drafting responses.
  • AI-Curious Builders: Executing commands, managing files, and browsing the web within a secure, persistent environment.
  • Business Operations: Generating reports and summaries from various sources like documents, web, and videos.
  • Executive Support: Functioning as an AI executive assistant for inbox triage, meeting scheduling, and follow-ups.

pricing

Clawdi Pricing & Plans

Clawdi operates on a freemium model with tiered subscription plans, offering monthly, quarterly, and annual billing options. Discounts are available for longer commitments. Each tier provides a specific allocation of credits, CPU, RAM, and storage, alongside access to different agent engines and features.

  • Freemium: $0/month. Includes 5,000 credits/month, choice of OpenClaw or Hermes engine, 2 vCPU, 4GB RAM, 20GB storage, hardware-encrypted (Intel TDX), and support for 13+ messaging apps.
  • Pro: $29/month. Includes 30,000 credits/month, both OpenClaw and Hermes engines, 2 vCPU, 4GB RAM, 20GB storage, hardware-encrypted (Intel TDX), 13+ messaging apps, web terminal access, and custom public ports.
  • Max: $99/month. Includes 120,000 credits/month, both OpenClaw and Hermes engines, 4 vCPU, 8GB RAM, 40GB storage, hardware-encrypted (Intel TDX), 13+ messaging apps, web terminal access, and custom public ports.
  • Enterprise: Custom pricing for teams and organizations requiring advanced security and features.

Similar Tools

Clawdi vs Competitors

Clawdi differentiates itself in the AI agent platform market by offering a managed, persistent environment that decouples an agent's memory, API keys, skills, and files from the underlying agent engine. This architecture allows users to switch between different AI agent frameworks, such as OpenClaw and Hermes, without losing configurations or context. This contrasts with self-hosting options that require manual infrastructure management. Clawdi's emphasis on a secure, isolated cloud VM powered by confidential computing (Phala Network) also provides a robust security model for sensitive data.

1

Dify is a low-code platform that enables the creation of AI agents with a visual interface, supporting hundreds of LLMs and built-in strategies like RAG, Function Calling, and ReAct.

Dify offers a more visual, low-code approach to building and managing agents, potentially appealing to a broader audience. While both manage agent lifecycles, Clawdi emphasizes managing environments, sessions, memory, skills, cron jobs, and app connections, suggesting a potentially more granular operational control over agent components.

2

CrewAI specializes in orchestrating role-playing AI agents for collaborative tasks, offering both an open-source framework and an enterprise platform (CrewAI AMP) for management, monitoring, and scaling.

CrewAI focuses heavily on multi-agent collaboration and structured team-based agent workflows, providing a clear role-based approach. Clawdi appears to offer broader management of individual agent components like memory, skills, and cron jobs, in addition to environments and sessions, making it a more general-purpose agent management platform.

3

AutoGen is a multi-agent conversation framework from Microsoft Research that enables agents to collaborate and solve tasks through customizable and autonomous conversations.

AutoGen's primary strength lies in facilitating complex multi-agent conversations and collaboration, which aligns with Clawdi's agent management but with a specific emphasis on conversational and collaborative workflows. Clawdi's scope seems broader, encompassing more operational aspects like cron jobs and app connections beyond just agent interaction.

4
Google Gemini Enterprise Agent Platform

This comprehensive platform from Google is designed for building, scaling, governing, and optimizing AI agents, integrating deeply with the Google ecosystem and offering both low-code and code-first development options.

Google's platform is a robust, enterprise-grade solution with extensive governance and scalability features, deeply integrated into the Google Cloud ecosystem. Clawdi offers similar core agent management functionalities but might be positioned as a more independent or framework-agnostic solution, whereas Google's offering is inherently tied to its cloud services.

5
VoltAgent

VoltAgent is an end-to-end AI Agent Engineering Platform featuring an open-source TypeScript framework for building intelligent agents with memory, tools, and multi-step workflows, complemented by a console for observability, automation, and deployment.

VoltAgent, similar to Clawdi, provides a comprehensive solution for agent engineering, including both a framework for agent construction and a console for operational management. Its TypeScript-first approach offers a specific developer experience, while Clawdi's description implies broader compatibility with 'app connections' without specifying a primary language.

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